A method, system and computer-usable medium for providing composite cognitive insights comprising receiving streams of data from a plurality of data sources; processing the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph, the processing the cognitive graph providing a plurality of individual cognitive insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights; and, providing the composite cognitive insight to a user via a set of cognitive media content.
Legal claims defining the scope of protection. Each claim is shown in both the original legal language and a plain English translation.
1. A system comprising: a processor; a data bus coupled to the processor; and a non-transitory, computer-readable storage medium embodying computer program code for providing composite cognitive insights within a cognitive information processing system environment, the cognitive information processing system environment comprising a plurality of data sources, a cognitive inference and learning system, a cognitive application and a repository of cognitive media content, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for: receiving streams of data from a plurality of data sources, the plurality of data sources comprising respective data repositories; processing, via the cognitive inference and learning system, the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine, the cognitive platform interacting with an insight Application Program Interface (API), the insight API conveying a cognitive insight summary to the cognitive application; processing the cognitive graph via the insight engine, the processing the cognitive graph providing a plurality of individual cognitive insights for a user, the insight engine using the cognitive graph as a data source to provide the plurality of individual insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights, the generating orchestrating the insight engine to generate the composite cognitive insight from the plurality of individual cognitive insights; and, providing the composite cognitive insight to the user via the cognitive application, the cognitive application presenting the user with the composite cognitive insight via cognitive media content, the cognitive media content being selected from a repository of cognitive media content by the cognitive platform.
2. The system of claim 1 , wherein: the cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.
3. The system of claim 1 , wherein: the composite cognitive insight comprises a contextually-relevant composite insight; and, the cognitive media content comprises content related to the contextually-relevant insight.
4. The system of claim 1 , wherein the instructions executable by the processor further comprise instructions for: referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.
5. The system of claim 1 , wherein the instructions executable by the processor further comprise instructions for: annotating the cognitive media content to indicate an association with other cognitive media content.
6. The system of claim 1 , wherein: the cognitive media content is presented via a cognitive insight summary.
A system for presenting cognitive media content through a cognitive insight summary addresses the challenge of efficiently conveying complex information from media sources in a concise and meaningful way. The system processes media content, such as articles, videos, or audio recordings, to extract key insights, themes, or actionable knowledge. These insights are then synthesized into a structured summary that highlights the most relevant information, enabling users to quickly grasp the core concepts without engaging with the full content. The cognitive insight summary may include key points, summaries, visual representations, or interactive elements that enhance comprehension and retention. This approach is particularly useful in environments where time is limited, such as professional settings, educational contexts, or personal learning scenarios, where users need to quickly understand and apply information from various media sources. The system may also adapt the summary based on user preferences, context, or prior knowledge to improve relevance and effectiveness. By automating the extraction and summarization process, the system reduces the cognitive load on users while ensuring they receive the most valuable insights from the media content.
7. A non-transitory, computer-readable storage medium embodying computer program code for providing composite cognitive insights within a cognitive information processing system environment, the cognitive information processing system environment comprising a plurality of data sources, a cognitive inference and learning system, a cognitive application and a repository of cognitive media content, the computer program code comprising computer executable instructions configured for: receiving streams of data from a plurality of data sources, the plurality of data sources comprising respective data repositories; processing, via the cognitive inference and learning system, the streams of data from the plurality of data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph, the cognitive inference and learning system executing on a hardware processor of an information processing system, the cognitive inference and learning system and the information processing system providing a cognitive computing function, the cognitive inference and learning system comprising a cognitive platform, the cognitive platform comprising a cognitive engine, the cognitive engine comprising an insight engine, the cognitive platform interacting with an insight Application Program Interface (API), the insight API conveying a cognitive insight summary to the cognitive application; processing the cognitive graph via the insight engine, the processing the cognitive graph providing a plurality of individual cognitive insights for a user, the insight engine using the cognitive graph as a data source to provide the plurality of individual insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual cognitive insights, the generating orchestrating the insight engine to generate the composite cognitive insight from the plurality of individual cognitive insights; and, providing the composite cognitive insight to the user via the cognitive application, the cognitive application presenting the user with the composite cognitive insight via cognitive media content, the cognitive media content being selected from a repository of cognitive media content by the cognitive platform.
8. The non-transitory, computer-readable storage medium of claim 7 , wherein: the cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.
9. The non-transitory, computer-readable storage medium of claim 7 , wherein: the composite cognitive insight comprises a contextually-relevant composite insight; and, the cognitive media content comprises content related to the contextually-relevant insight.
This invention relates to a computer-readable storage medium that enhances cognitive insights by generating contextually relevant composite insights and delivering related media content. The system processes user data, such as preferences, behavior, and environmental factors, to identify patterns and generate insights tailored to the user's current context. These insights are then combined with media content, such as articles, videos, or audio, that aligns with the derived insights. The system dynamically adjusts the content based on real-time data, ensuring relevance and personalization. This approach improves user engagement by providing timely, meaningful information that adapts to changing circumstances. The invention addresses the challenge of delivering personalized content in a way that remains relevant as user needs and contexts evolve. By integrating cognitive insights with media content, the system offers a more intuitive and responsive user experience compared to static or generic content delivery methods. The technology is particularly useful in applications like education, marketing, and personalized recommendations, where context-aware insights can significantly enhance user interaction and satisfaction.
10. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions executable by the processor further comprise instructions for: referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.
11. The non-transitory, computer-readable storage medium of claim 7 , wherein the instructions executable by the processor further comprise instructions for: annotating the cognitive media content to indicate an association with other cognitive media content.
12. The non-transitory, computer-readable storage medium of claim 7 , wherein: the cognitive media content is presented via a cognitive insight summary.
A system and method for presenting cognitive media content involves analyzing media data to generate insights and presenting those insights in a structured summary format. The system processes media content, such as audio, video, or text, to extract key information, patterns, or trends. This analysis may include natural language processing, sentiment analysis, or other cognitive computing techniques to derive meaningful insights. The extracted insights are then organized into a concise, digestible summary that highlights the most relevant findings. This summary can be displayed in various formats, such as a visual dashboard, a textual report, or an interactive interface, allowing users to quickly understand the key takeaways from the media content without needing to review the entire dataset. The system may also adapt the summary based on user preferences or contextual factors, ensuring the insights are tailored to the user's needs. This approach improves efficiency by reducing the time required to analyze large volumes of media data while providing actionable intelligence.
13. The non-transitory, computer-readable storage medium of claim 7 , wherein the computer executable instructions are deployable to a client system from a server system at a remote location.
14. The non-transitory, computer-readable storage medium of claim 7 , wherein the computer executable instructions are provided by a service provider to a user on an on-demand basis.
15. A hybrid cloud infrastructure comprising: a first cognitive inference and learning system, the first cognitive inference and learning system executing on a first hardware processor of a first information processing system, the first cognitive inference and learning system and the information processing system providing a first cognitive computing function, the first cognitive inference and learning system comprising a plurality of public data sources and a repository of cognitive media content, the first cognitive inference and learning system comprising a hosted cognitive platform, the hosted cognitive platform comprising a hosted cognitive engine, the hosted cognitive engine comprising a hosted insight engine, the hosted cognitive platform being configured for: receiving streams of data from the plurality of public data sources, the public data sources comprising respective public data repositories; processing the streams of data from the plurality of public data sources, the processing the streams of data from the plurality of data sources performing data enriching and generating a sub-graph for incorporation into a cognitive graph; processing the cognitive graph via the hosted insight engine, the processing the cognitive graph providing a plurality of individual hosted cognitive insights for a user, the hosted insight engine using the cognitive graph as a data source to provide the plurality of individual hosted cognitive insights; and, a second cognitive inference and learning system, the second cognitive inference and learning system executing on a second hardware processor of a second information processing system, the second cognitive inference and learning system and the second information processing system providing a second cognitive computing function, the second cognitive inference and learning system comprising a private, company managed data source and a repository of private cognitive media content, the second cognitive inference and learning system comprising a private cognitive platform, the private cognitive platform comprising a private cognitive engine, the private cognitive engine comprising a private insight engine, the private cognitive platform being configured for: receiving streams of data from the private, company managed data source, the private, company managed data source comprising a private data repository; processing the streams of data from the private, company managed data source, the processing the streams of data from the private, company managed data source performing data enriching and generating a sub-graph for incorporation into a private cognitive graph; processing the private cognitive graph via the private insight engine, the processing the cognitive graph providing a plurality of individual private cognitive insights for a user, the private insight engine using the cognitive graph as a data source to provide the plurality of individual private insights; generating a composite cognitive insight, the composite cognitive insight being composed of the plurality of individual hosted cognitive insights and the plurality of individual private cognitive insights, the generating orchestrating the private insight engine to generate the composite cognitive insight from the plurality of hosted cognitive insights and the plurality of individual private cognitive insights; and, providing the composite cognitive insight to the user via a private cognitive application, the private cognitive application presenting the user with the composite cognitive insight as cognitive media content, the cognitive media content being selected from the repository of private cognitive media content by the private cognitive platform.
16. The hybrid cloud infrastructure of claim 15 , wherein: the private cognitive media content comprises at least one of a cognitive media content element, a non-commercial content element, and an advertising content element.
17. The hybrid cloud infrastructure of claim 15 , wherein: the composite cognitive insight comprises a contextually-relevant composite insight; and, the private cognitive media content comprises content related to the contextually-relevant insight.
18. The hybrid cloud infrastructure of claim 15 , wherein the instructions executable by the processor further comprise instructions for: referencing a cognitive persona when generating the composite cognitive insight, the cognitive persona comprising an archetype user model representing common attributes associated with a hypothesized group of users.
The hybrid cloud infrastructure provides a system for generating composite cognitive insights by analyzing data from multiple sources. The system addresses the challenge of deriving actionable insights from diverse datasets by integrating cognitive computing techniques with cloud-based processing. The infrastructure includes a processor and memory storing instructions for collecting data from various sources, processing the data to identify patterns, and generating insights based on the identified patterns. A key feature of the system is the use of a cognitive persona, which is an archetype user model representing common attributes associated with a hypothesized group of users. When generating composite cognitive insights, the system references this cognitive persona to tailor the insights to the characteristics and behaviors of the target user group. This ensures that the insights are relevant and applicable to the intended audience, improving decision-making and user engagement. The system leverages cloud computing to scale processing power and storage as needed, while also integrating on-premises resources for sensitive or latency-critical tasks. This hybrid approach optimizes performance, security, and cost-efficiency. The cognitive persona enhances the system's ability to personalize insights, making it particularly useful in applications such as customer analytics, marketing, and user experience optimization.
19. The hybrid cloud infrastructure of claim 15 , wherein the instructions executable by the processor further comprise instructions for: annotating the cognitive media content to indicate an association with other cognitive media content.
20. The hybrid cloud infrastructure of claim 15 , wherein: the cognitive media content is presented via a cognitive insight summary.
Cooperative Patent Classification codes for this invention.
December 14, 2018
February 11, 2020
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